MicroRNAs (miRNAs) are short, endogenous non-coding RNAs that function as guide molecules to regulate transcription of their target messenger RNAs. Several methods including low-density qPCR arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. Reliable analysis of expression profiles demands removal of technical variati...

micrornas (mirnas) are short, endogenous non-coding rnas that function as guide molecules to regulate transcription of their target messenger rnas. several methods including low-density qpcr arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. reliable analysis of expression profiles demands removal of technical variati...

the prediction of lithology is necessary in all areas of petroleum engineering. this means that todesign a project in any branch of petroleum engineering, the lithology must be well known. supportvector machines (svm’s) use an analytical approach to classification based on statistical learningtheory, the principles of structural risk minimization, and empirical risk minimization. in thisresearc...

In this paper, we describe our participation in the TempEval-3 challenge. With our multilingual temporal tagger HeidelTime, we addressed task A, the extraction and normalization of temporal expressions for English and Spanish. Exploiting HeidelTime’s strict separation between source code and languagedependent parts, we tuned HeidelTime’s existing English resources and developed new Spanish reso...

We propose a new performance criteria and update mechanism for the blind decorrelation of an array of sensor measurements into independent sources, assuming each sensor measures a different convolutive mixture of statistically independent non-stationary sources. Specifically, the criteria is the sum of the magnitude squared coherence functions between all possible distinct pairs of outputs prod...

This thesis addresses the general problem of maintaining robust automatic speech recognition (ASR) performance under diverse speaker populations, channel conditions, and acoustic environments. To this end, the thesis analyzes the interactions between environment compensation techniques, frequency warping based speaker normalization, and discriminant feature-space transformation (DFT). These int...

Disjunctive cuts for Mixed-Integer Linear Programs have been introduced by Egon Balas in the late 70’s, and successfully exploited in practice since the late 90’s. In this paper we investigate the main ingredients of a disjunctive cut separation procedure, and analyze their impact on the quality of the root-node bound for a set of instances taken from MIPLIB library. We compare alternative norm...

Blind source separation (BSS) is a problem found in many applications related to acoustics or communications. This paper addresses the blind source separation problem for the case where the source signals are non-stationary and the sensors are noisy. To this end, we propose several useful elementary cost functions which can be combined to an overall cost function. The elementary cost functions ...